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From Battery Cell to Electrodes: Real-Time Estimation of Charge and Health of Individual Battery Electrodes.
- Source :
-
IEEE Transactions on Industrial Electronics . Mar2020, Vol. 67 Issue 3, p2167-2175. 9p. - Publication Year :
- 2020
-
Abstract
- Accurate information of battery internal variables is crucial for health-conscious and optimal battery management. Due to lack of measurements, advanced battery management systems rely heavily on estimation algorithms that provide such internal information. Although algorithms for cell-level charge and health estimation have been widely explored in the literature, algorithms for electrode-level quantities are almost nonexistent. The main obstacle in electrode-level estimation is the observability problem where the individual electrode states are not observable from terminal voltage output. However, if available, real-time feedback of electrode-level charge and health can be highly beneficial in maximizing energy utilization and battery life. Motivated by this scenario, in this paper we propose a real-time algorithm that estimates the available charge and health of individual electrodes. We circumvent the aforementioned observability problem by proposing an uncertain model-based cascaded estimation framework. The design and analysis of the proposed scheme are aided by a combination of Lyapunov's stability theory, adaptive observer theory, and interconnected systems theory. Finally, we illustrate the effectiveness of the estimation scheme by performing extensive simulation and experimental studies. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02780046
- Volume :
- 67
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Industrial Electronics
- Publication Type :
- Academic Journal
- Accession number :
- 139500093
- Full Text :
- https://doi.org/10.1109/TIE.2019.2907514